Use of Geographic Information System Tools in Research on Neonatal Outcomes in a Maternity-School in Belo Horizonte - Brazil

Aim: This study proposes to evaluate the spatial distribution of the public obstetric care in the city of Belo Horizonte. It will also correlate the primary care units (PCU) with the immediate neonatal outcomes of a maternity-school of Belo Horizonte, according to risk pregnancy and obstetric outcome. Method: Descriptive geographic-spatial research. This study analyzed a cohort of 2956 newborn who received care at birth in maternity-school, Hospital das Clinicas (HC) of Federal University of Minas Gerais (UFMG) between the January/2013 to July/2014. The gestational risk, the local of primary care unit (PCU) of prenatal, immediate neonatal outcome was studied. The QGIS 2.4 open source software was used to generate thematic maps and analyses. Results: It was observed that among the 2083 births analyzed 1154 (55.4%) were classified as high risk for maternal and 634 (30.4%) with poor neonatal outcome, also, that has a concentration of women living in the northwest of the city to officially refer to their childbirth mothers in the maternity-school. In cases of high risk pregnancy and perinatal complications referencing also occurs from practically all other regions of the city. Discussion: The integration of hospital clinical and administrative data with cartographic databases, through through this study, was able to make clear the patterns of referencing for childbirth in maternity-school in high risk pregnancy. Despite the limitations of a descriptive study, the analysis makes clear that the choice of place of childbirth, exceeds the matters set out in government planning of emergency obstetric referencing by sanitary districts.

@article{Gaspar2014,
  title     = {Use of Geographic Information System Tools in Research on Neonatal Outcomes in a Maternity-School in Belo Horizonte - Brazil},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {12},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Juliano de S. Gaspar and Thabata Sá and Zilma S. N. Reis and Renato F. N. Júnior and Marcelo S. Júnior and Rafael R. Gusmão},
  doi       = {10.14569/IJACSA.2014.051213},
  url       = {https://doi.org/10.14569/IJACSA.2014.051213}
}